Qwen Image MCP Server
Server Configuration
Describes the environment variables required to run the server.
| Name | Required | Description | Default |
|---|---|---|---|
| REGION | No | 地域：cn-beijing / ap-southeast-1 | cn-beijing |
| LOG_LEVEL | No | 日志级别：DEBUG / INFO / WARNING | INFO |
| WORKSPACE_ID | No | 业务空间 ID，不设则使用旧域名 | |
| DASHSCOPE_API_KEY | Yes | 阿里云百炼 API Key | |
| IMAGE_GEN_TIMEOUT | No | API 请求超时（秒） | 120 |
Instructions
Guidance the server publishes about itself, which clients place ahead of the tool catalog so the model reads it before choosing anything.
This server publishes no instructions, or was last inspected before Glama recorded them.
Capabilities
Features and capabilities supported by this server
Protocol revision2025-11-25
| Capability | Details |
|---|---|
| tools | {
"listChanged": false
} |
| prompts | {
"listChanged": false
} |
| resources | {
"subscribe": false,
"listChanged": false
} |
| experimental | {} |
Tools
Functions exposed to the LLM to take actions
| Name | Description |
|---|---|
| generate_imageA | 文生图（T2I）— 根据文本提示词直接生成图像。 支持中英文提示词，模型会自动根据提示词推荐分辨率。 prompt_extend 默认开启，会对简单提示词进行智能改写以获得更好的效果。 |
| edit_imageA | 图生图 / 图像编辑（I2I）— 基于 1-3 张参考图结合编辑指令进行精确编辑。 可传入图像 URL 或 Base64 编码，模型会根据文本指令对参考图进行编辑生成。 适用于: 换装、换背景、风格转换、人物保留编辑等场景。 |
Prompts
Interactive templates invoked by user choice
| Name | Description |
|---|---|
No prompts | |
Resources
Contextual data attached and managed by the client
| Name | Description |
|---|---|
No resources | |
TDQS
Scored across 2 tools
The two tools have completely distinct purposes: generate_image creates images from text prompts, while edit_image modifies existing images using reference images and instructions. There is no overlap or ambiguity between them.
Both tools follow the exact same verb_noun pattern with clear, descriptive verbs: generate_image and edit_image. The naming is predictable and consistent.
Only two tools is on the thinner side, but they cover the two core capabilities of the Qwen image model (text-to-image and image-to-image editing). The server is narrowly scoped and each tool is essential, making the count reasonable for its purpose.
For the domain of image generation and editing, the server provides both fundamental operations. There are no obvious missing functions like image variation or upscaling, but the core workflows of generating from text and editing reference images are fully covered.